Optimal Control and Architecture Design Optimization for Hydraulic Drive Train of a Compact Track Loader

Justinus K Hartoyo, Perry Y. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Hydrostatic transmission (HST) is a common hydraulic drive train transmission used in track loaders and other high power off-road vehicles. While reliable, traditional HST with fixed-displacement motors has relatively poor efficiencies. In this paper, alternative HST and series hybrid drive train architectures are proposed to replace the traditional HST to allow the implementation of optimal control and optimization methods for better vehicle fuel efficiency. Besides the optimal control methods applied to minimize fuel consumption, the proposed architectures are also optimized for the best configuration in terms of component sizing. Backward-facing (acausal) simulation models were developed to estimate the fuel efficiency of each architecture. Finally, each architecture is compared for optimized performance and fuel saving relative to the traditional HST as baseline.

Original languageEnglish (US)
Title of host publication2021 American Control Conference, ACC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665441971
StatePublished - May 25 2021
Event2021 American Control Conference, ACC 2021 - Virtual, New Orleans, United States
Duration: May 25 2021May 28 2021

Publication series

Name2021 American Control Conference (ACC)


Conference2021 American Control Conference, ACC 2021
Country/TerritoryUnited States
CityVirtual, New Orleans

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Vehicle Technologies Office Award Number DE-EE0008335. We are grateful to Paul Michael at the Milwaukee School of Engineering for providing component efficiency maps, and to the Minnesota Supercomputing Institute (MSI) at the University of Minnesota for providing computing resources.

Funding Information:
*This work was funded by the United States Department of Energy The authors are with the Center for Compact and Efficient Fluid Power (CCEFP), Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA harto013@umn.edu, lixxx099@umn.edu

Publisher Copyright:
© 2021 American Automatic Control Council.


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